Gemma 4 12B vs Qwen3.7 Plus
Compare Gemma 4 12B and Qwen3.7 Plus side-by-side.
Compare Gemma 4 12B vs Qwen3.7 Plus live
Run the same image across every model that supports a task and compare their outputs side-by-side.
These models don't share enough common tasks for a side-by-side demo. See the comparison table below for their capabilities.
Models in this comparison
Gemma 4 12B vs Qwen3.7 Plus Comparison Table
Evals updated September 3, 2026Pricing updated September 3, 2026
| Property | Gemma 4 12B | Qwen3.7 Plus |
|---|---|---|
| Organization | Qwen | |
| Category | open | closed |
| Modality | multimodal | — |
| Release Date | Jun 2026 | Jun 2026 |
| Context Window | — | — |
| Parameters | 12B | |
| License | Apache 2.0 | |
| Pricing per 1M tokens | ||
| Input $/1M | $0.320 | |
| Output $/1M | $1.28 | |
| Vision Tasks | ||
| Captioning | Demo | |
| OCR | Demo | |
| Visual Question Answering | Demo | |
| classification | Demo | |
| object-detection | Demo | |
| Vision Language | ||
| Model Features | ||
| Multimodal Vision | ||
Vision Evalsground-truth scores across 6 vision tasks, pooled at low effort | ||
| Overall | Not evaluated | 67.4% |
| Avg cost / sample | – | $0.0008 |
| Avg speed / sample | – | 7.01s |
| By task | ||
| Object Detection | – | 60.1% |
| Counting | – | 50.0% |
| Identification | – | 84.4% |
| OCR | – | 86.5% |
| Data Extraction | – | 83.5% |
| Reasoning (low) | – | 39.7% |
| Reasoning (high) | – | 68.2% |
Gemma 4 12B vs Qwen3.7 Plus: Overview
Gemma 4 12B is an open-weight multimodal model from Google in the Gemma 4 family. It is intended for text and image understanding tasks such as visual question answering, OCR, captioning, and document understanding, with a smaller parameter footprint than the larger Gemma 4 variants.
This entry is connected to Roboflow Playground vision evals for comparison. No runnable Playground workflow is configured yet, so the model page is used for discovery and benchmark context rather than direct hosted inference.